Desmond

System Requirements

 

Operating System

Linux

  • RedHat Enterprise Linux (RHEL) 7.8-7.9, 8.6, 8.8, 9.0, 9.2

     

    Please make sure the listed packages are installed:

    Required packages 

sudo yum/dnf install <lib>

  • Rocky Linux 8.8, 9.2

     

    Please make sure the listed packages are installed:

    Required packages 

sudo yum/dnf install <lib>

  • CentOS 7.8 - 7.9

     

    Please make sure the listed packages are installed:

    Required packages 

sudo yum install <lib>

  • Ubuntu 20.04 LTS and 22.04 LTS

     

    Please make sure the listed packages are installed:

    Required packages 

sudo apt-get install <lib>

 

NOTES:
All supported distributions have a glibc of 2.12 or greater.
If using NFS, file locking must be enabled.

 

Timeline

We aim to provide support for new operating system versions 6 months after their public release.

Support cannot be provided once an OS platform version has reached "end of life" (EOL). Check with your platform provider for EOL information.

 

Upcoming Changes

24-3: Drop support for RHEL/CentOS 7

RHEL/CentOS 7 will reach their end of life on June 30, 2024 and will no longer be supported after release 24-2.

 

To view a list of upcoming infrastructure changes that may require changes from your IT team click here.

 

 

We support the following NVIDIA solutions:

Architecture Server / HPC Workstation
Pascal

Tesla P40

Tesla P100

 Quadro P5000
Volta

Tesla V100

 
Turing

Tesla T4

Quadro RTX 5000
Ampere

Tesla A100

RTX A4000

RTX A5000
Ada Lovelace

L4

 
Hopper

H100

 

 

Deprecated

  • Support for the Tesla M40 and M60 cards is deprecated.

 

Notes

  • We support only the NVIDIA 'recommended / certified / production branch' Linux drivers for these cards with minimum CUDA version 12.0.

  • Standard support does not cover consumer-level GPU cards such as GeForce GTX cards.

  • In the 2024-2 release, the "Discounted Cores" of an L4 was decreased from 7424 to 5120. This adjustment was made to align with the L4's status as a preferred card due to its widespread availability on-premises and through cloud providers. Additionally, the L4's low power consumption, speed, and sufficient memory make it suitable for running the majority of workflows in a configuration with one GPU per node.

  • If you already have another NVIDIA GPGPU and would like to know if we have experience with it, please contact our support at help@schrodinger.com.

 

MD Compatible Systems

NOTE: The minimum is not necessarily the optimum hardware configuration, particularly if you are planning to run large modeling jobs.